{"pageNumber":"1","pageRowStart":"0","pageSize":"25","recordCount":10444,"records":[{"id":70274700,"text":"70274700 - 2026 - Widespread occurrence of Magnéli phases in wildland-urban interface fire ashes","interactions":[],"lastModifiedDate":"2026-04-06T14:40:45.010085","indexId":"70274700","displayToPublicDate":"2026-03-29T09:34:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23787,"text":"Environmental Science and Technology.","active":true,"publicationSubtype":{"id":10}},"title":"Widespread occurrence of Magnéli phases in wildland-urban interface fire ashes","docAbstract":"

The increasing activity of wildland–urban interface (WUI) fires has raised concerns regarding the potential environmental and human health impacts of residual ash remaining after burning. In this study, we investigated the concentration and speciation of titanium in WUI fire ash. Total titanium concentrations in WUI fire ash ranged from 0.53 to 80 g kg–1. Synchrotron-based macro- and microscale X-ray absorption near-edge structure (XANES and μXANES, respectively) spectroscopy were used to quantify the relative abundance of major Ti phases in the fire ash, and the results were corroborated by high resolution-transmission electron microscopy (HR-TEM) measurements. Rutile (α-TiO2), anatase (β-TiO2), ilmenite (FeTiO3), and titanium(III) oxide (Ti2O3) were detected in all 20 ashes investigated by XANES and accounted for 0.26–0.83, 0.19–0.83, 0.33, and 0.17–0.72 of the spectral weight, respectively. Deeper analysis by μXANES of one sample demonstrated that Ti-bearing particles occurred as a mixture of rutile (α-TiO2), anatase (β-TiO2), ilmenite (FeTiO3), and titanium(III) oxide Ti2O3, with the absence of a pure Ti2O3 phase. The presence of Ti2O3 in the WUI fire ash is ascribed to the reduction of rutile and anatase to Magnéli titania (TinO2n–1, n = 4–9), which is estimated to be the dominant phase of titanium in the 20 WUI fire ashes investigated by XANES. The occurrence of Magnéli titania was corroborated by HR-TEM. Our findings demonstrate the impact of WUI fires on titanium speciation; fires convert titanium dioxides (e.g., rutile and anatase) to reduced titanium phases (e.g., Magnéli titania). Based on HR-TEM analyses, most of the titanium-bearing particles were less than 500 nm in size. Magnéli particles have been shown to be more toxic than rutile and anatase and have been linked to reduced lung function. Therefore, this study provides critical insights into the pollution characteristics and potential health risks of WUI fire ashes and associated particles, which are currently poorly understood.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c09885","usgsCitation":"Baalousha, M., Desmau, M., Colina-Ruiz, R.A., Lanzirotti, A., Singerling, S., Stern, M.A., and Alpers, C.N., 2026, Widespread occurrence of Magnéli phases in wildland-urban interface fire ashes: Environmental Science and Technology., https://doi.org/10.1021/acs.est.5c09885.","ipdsId":"IP-181072","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":502203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"North Complex Fire, Sonoma-Lake-Napa Unit Lightning Complex Fire","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.53535804424484,\n 39.861679970446005\n ],\n [\n -121.53535804424484,\n 39.536367221093826\n ],\n [\n -120.93134494625352,\n 39.536367221093826\n ],\n [\n -120.93134494625352,\n 39.861679970446005\n ],\n [\n -121.53535804424484,\n 39.861679970446005\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.56640090392649,\n 38.826490401790494\n ],\n [\n -122.56640090392649,\n 38.37686309350897\n ],\n [\n -122.042065699897,\n 38.37686309350897\n ],\n [\n -122.042065699897,\n 38.826490401790494\n ],\n [\n -122.56640090392649,\n 38.826490401790494\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Baalousha, Mohammed 0000-0001-7491-4954","orcid":"https://orcid.org/0000-0001-7491-4954","contributorId":255450,"corporation":false,"usgs":false,"family":"Baalousha","given":"Mohammed","email":"","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":958736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Desmau, Morgane 0000-0002-7828-183X","orcid":"https://orcid.org/0000-0002-7828-183X","contributorId":296283,"corporation":false,"usgs":false,"family":"Desmau","given":"Morgane","email":"","affiliations":[{"id":64009,"text":"Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany","active":true,"usgs":false}],"preferred":false,"id":958737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colina-Ruiz, Roberto A.","contributorId":369277,"corporation":false,"usgs":false,"family":"Colina-Ruiz","given":"Roberto","middleInitial":"A.","affiliations":[{"id":87751,"text":"Center for Advanced Radiation Sources, The University of Chicago, Argonne, Illinois 60439, United States","active":true,"usgs":false}],"preferred":false,"id":958738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanzirotti, Antonio 0000-0002-7597-5924","orcid":"https://orcid.org/0000-0002-7597-5924","contributorId":223780,"corporation":false,"usgs":false,"family":"Lanzirotti","given":"Antonio","email":"","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":958739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singerling, Sheryl A. 0000-0001-8639-5039","orcid":"https://orcid.org/0000-0001-8639-5039","contributorId":296284,"corporation":false,"usgs":false,"family":"Singerling","given":"Sheryl A.","affiliations":[{"id":64010,"text":"Virginia Polytechnic Institute and State University, Blacksburg, Virginia","active":true,"usgs":false}],"preferred":false,"id":958740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958742,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274217,"text":"70274217 - 2026 - Spatial units to support Lake Erie Cisco Coregonus artedi restoration","interactions":[],"lastModifiedDate":"2026-03-13T13:49:00.704144","indexId":"70274217","displayToPublicDate":"2026-03-12T08:41:16","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"displayTitle":"Spatial units to support Lake Erie Cisco Coregonus artedi restoration","title":"Spatial units to support Lake Erie Cisco Coregonus artedi restoration","docAbstract":"At the request of the Lake Erie Committee, spatial units for Lake Erie Cisco were delineated during spring 2024. Spatial units correspond to the reproductive habitat of extirpated (unoccupied spatial units) and extant (occupied spatial units) populations. Spatial units were delineated using a Council of Lake Committees-endorsed method that involves synthesizing data for evaluation by a panel with expertise on the focal organisms and ecosystems. By examining catch, survey, observational, and genetic data, an expert panel determined that no viable Cisco populations remain in Lake Erie. Experts delineated one eastern and one western unoccupied Cisco spatial unit in Lake Erie based on interpretation of historical movement and spawning locations and timing. The expert panel also identified eleven key questions that can be investigated to further inform Lake Erie Cisco restoration. The two unoccupied spatial units will form the basis of a follow-on threats assessment and population viability models that together provide fishery managers science-based planning tools for Lake Erie Cisco restoration.","language":"English","publisher":"Great Lakes CIscoes","usgsCitation":"Egan, J.P., Ackiss, A.S., and Muir, A.M., 2026, Spatial units to support Lake Erie Cisco Coregonus artedi restoration, 29 p.","productDescription":"29 p.","ipdsId":"IP-177655","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":501125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501123,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.greatlakesciscoes.org/lake-erie-cisco-spatial-unit-assessment-and-delineation/"}],"country":"Canada, United Sates","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.90437674926393,\n 42.88573072124271\n ],\n [\n -79.52141499356523,\n 42.87769210959476\n ],\n [\n -80.22678399206747,\n 42.79281581499302\n ],\n [\n -80.51880625151767,\n 42.57814946253396\n ],\n [\n -81.02026663661093,\n 42.67543230196293\n ],\n [\n -81.30128454543694,\n 42.67543535756306\n ],\n [\n -81.53822853578485,\n 42.56596464399709\n ],\n [\n -81.9019334399238,\n 42.33014170165541\n ],\n [\n -81.95153424579222,\n 42.26492779780335\n ],\n [\n -82.12236039987853,\n 42.236375180224144\n ],\n [\n -82.45298532777961,\n 42.08524033767702\n ],\n [\n -82.5191058069868,\n 41.92964634487325\n ],\n [\n -82.61828632462084,\n 42.04024072452731\n ],\n [\n -82.91034362126736,\n 41.987015817617134\n ],\n [\n -83.11972864041921,\n 42.077062926530004\n ],\n [\n -83.10317152070901,\n 42.24453450962994\n ],\n [\n -83.29610139408294,\n 41.9419412108324\n ],\n [\n -83.3622121286252,\n 41.92964573816295\n ],\n [\n -83.51644448225035,\n 41.69555451568095\n ],\n [\n -82.9488535420495,\n 41.41103910261083\n ],\n [\n -82.71193183972241,\n 41.41929329585025\n ],\n [\n -82.47491670465367,\n 41.35733064230888\n ],\n [\n -81.99008606791249,\n 41.477110666960954\n ],\n [\n -81.70899983775189,\n 41.46067864477564\n ],\n [\n -81.25720217469238,\n 41.736707291689584\n ],\n [\n -80.6842102922714,\n 41.88460348122109\n ],\n [\n -79.96258495960994,\n 42.16700280222196\n ],\n [\n -79.42295622097835,\n 42.38302164176207\n ],\n [\n -79.37861904307078,\n 42.4440510296389\n ],\n [\n -79.15795348814065,\n 42.52534601120243\n ],\n [\n -79.00930804606551,\n 42.69563463834368\n ],\n [\n -78.83853732874603,\n 42.76038448982763\n ],\n [\n -78.84931646792415,\n 42.86956831700121\n ],\n [\n -78.90437674926393,\n 42.88573072124271\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Egan, Joshua P.","contributorId":367220,"corporation":false,"usgs":false,"family":"Egan","given":"Joshua","middleInitial":"P.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":957079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":957080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muir, Andrew M.","contributorId":367221,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew","middleInitial":"M.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":957081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274642,"text":"70274642 - 2026 - Finding the (small) cores: Spatial covariance tracks grassland bird community occupancy in fragmented grasslands","interactions":[],"lastModifiedDate":"2026-04-02T18:04:33.969063","indexId":"70274642","displayToPublicDate":"2026-03-11T10:57:27","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Finding the (small) cores: Spatial covariance tracks grassland bird community occupancy in fragmented grasslands","docAbstract":"

Grasslands are an imperiled ecosystem, and grassland bird abundance is declining across North America. One of the strongest drivers for these declines is woody plant encroachment of grasslands. In the Great Plains and Sagebrush biomes of North America, spatial covariance—a remote-sensing metric for tracking boundaries between vegetation types—is emerging as a new method to identify and strategize conservation of grassland cores in the face of woody plant encroachment. However, the relationship between spatial covariance and grassland bird community occupancy is unknown. Here, we used Bayesian multispecies occupancy models to understand how occupancy probability of six declining grassland species responded to spatial covariance at three scales (0.81, 7.29, and 65.61 ha) and tree cover in fragmented grasslands of Arkansas, USA. Model selection revealed that the smallest spatial scale (0.81 ha) best explained grassland bird occupancy. Tree cover alone was a poor predictor of grassland bird occupancy compared to models that included spatial covariance at the 0.81- and 7.29-ha scales. Grassland bird occupancy declined at tree-grass boundaries (negative spatial covariance at the 0.81-ha scale) and increased in grassland cores (near-zero or slightly positive spatial covariance at the 0.81-ha scale). At low tree cover, Dickcissel (Spiza americana), Eastern Kingbird (Tyrannus tyrannus), Loggerhead Shrike (Lanius ludovicianus), Northern Bobwhite (Colinus virginianus), and Scissor-tailed Flycatcher (Tyrannus forficatus) occupancy probability more than doubled in grassland cores (where spatial covariance approached zero). Eastern Meadowlark (Sturnella magna) had the weakest relationship with spatial covariance. Our results suggest that spatial covariance can identify grassland cores and serve as a powerful predictor of grassland bird community occupancy, even in highly fragmented grasslands. Identifying grassland cores empowers defending core grasslands from woody plant encroachment and then growing cores via active restoration.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70515","usgsCitation":"Berry, L.L., DeGregorio, B.A., Uden, D.R., and Roberts, C.P., 2026, Finding the (small) cores: Spatial covariance tracks grassland bird community occupancy in fragmented grasslands: Ecosphere, v. 17, no. 3, e70515, 12 p., https://doi.org/10.1002/ecs2.70515.","productDescription":"e70515, 12 p.","ipdsId":"IP-167761","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502095,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70515","text":"Publisher Index Page"},{"id":502026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Bald Knob National Wildlife Refuge, Cache River National Wildlife Refuge, Camp Robinson Special Use Area, Holla Bend National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.55982952388516,\n 35.69384138213361\n ],\n [\n -91.55982952388516,\n 35.08983573060459\n ],\n [\n -90.1524295998061,\n 35.08983573060459\n ],\n [\n -90.1524295998061,\n 35.69384138213361\n ],\n [\n -91.55982952388516,\n 35.69384138213361\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Berry, Lauren L.","contributorId":369145,"corporation":false,"usgs":false,"family":"Berry","given":"Lauren","middleInitial":"L.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":958532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uden, Daniel R.","contributorId":369146,"corporation":false,"usgs":false,"family":"Uden","given":"Daniel","middleInitial":"R.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":958534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958535,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274236,"text":"70274236 - 2026 - Accumulation of per- and polyfluoroalkyl substances (PFAS) and their association with immune parameters in nestling ospreys (Pandion haliaetus) from Chesapeake and Delaware Bays, USA","interactions":[],"lastModifiedDate":"2026-03-23T12:53:32.533122","indexId":"70274236","displayToPublicDate":"2026-03-10T14:19:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Accumulation of per- and polyfluoroalkyl substances (PFAS) and their association with immune parameters in nestling ospreys (Pandion haliaetus) from Chesapeake and Delaware Bays, USA","title":"Accumulation of per- and polyfluoroalkyl substances (PFAS) and their association with immune parameters in nestling ospreys (Pandion haliaetus) from Chesapeake and Delaware Bays, USA","docAbstract":"

Per- and polyfluoroalkyl substances (PFAS) are a class of widespread, environmentally persistent compounds that pose a potential threat to wildlife and human health. Despite recent efforts to reduce the use of long-chain PFAS in industrial practices and commercial/consumer products, the persistence and solubility of PFAS have led to their detection in wildlife on a global scale. Osprey (Pandion haliaetus) have long been used as a sentinel species with an extensive history of serving as an effective bioindicator of contamination. Here we report on a large-scale evaluation of PFAS and potential health effects in osprey from the Chesapeake and Delaware Bays, USA. In 2011 and 2015, we collected plasma samples from osprey nestlings throughout the Chesapeake and Delaware Bay watersheds. We quantified 40 PFAS congeners in osprey plasma via liquid chromatography-mass spectrometry and analyzed plasma for indicators of immune and thyroid function, and plasma biochemistry. In all birds, perfluorooctanesulfonic acid (PFOS) was the most commonly detected PFAS, followed by perfluoroundecanoic acid, (PFUnA) and perfluorodecanoic acid (PFDA). In nestling plasma from Chesapeake Bay, PFOS tended to be a higher average contributor to PFAS profiles compared to samples from Delaware Bay. In contrast, long-chain perfluoroalkyl carboxylic acids (PFCAs) such as PFUnA and PFDA comprised larger percentages of total PFAS in osprey plasma from Delaware Bay relative to Chesapeake Bay. While some PFAS concentrations were associated with plasma health indicators, the proportion of variation explained was low. Overall, our study provides a more thorough understanding of PFAS presence in the Chesapeake and Delaware Bays and is one of the first to examine whether PFAS exposure is associated with adverse health effects in wildlife.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgag055","usgsCitation":"Karouna-Renier, N., Haskins, D., Schultz, S.L., Akresh, M., and Rattner, B., 2026, Accumulation of per- and polyfluoroalkyl substances (PFAS) and their association with immune parameters in nestling ospreys (Pandion haliaetus) from Chesapeake and Delaware Bays, USA: Environmental Toxicology and Chemistry, https://doi.org/10.1093/etojnl/vgag055.","ipdsId":"IP-183725","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":501383,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70274236/images"},{"id":501382,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70274236/70274236.XML"},{"id":501381,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70274236/full"},{"id":501230,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake and Delaware Bays","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.61761223029669,\n 39.86211116682409\n ],\n [\n -76.93592404163553,\n 39.86211116682409\n ],\n [\n -76.93592404163553,\n 36.61322897844552\n ],\n [\n -74.61761223029669,\n 36.61322897844552\n ],\n [\n -74.61761223029669,\n 39.86211116682409\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":957120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haskins, David Lee 0000-0002-6692-3225","orcid":"https://orcid.org/0000-0002-6692-3225","contributorId":357996,"corporation":false,"usgs":true,"family":"Haskins","given":"David Lee","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":957121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Sandra L. 0000-0003-3394-2857 sschultz@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-2857","contributorId":5966,"corporation":false,"usgs":true,"family":"Schultz","given":"Sandra","email":"sschultz@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":957122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Akresh, Michael E.","contributorId":355344,"corporation":false,"usgs":false,"family":"Akresh","given":"Michael E.","affiliations":[{"id":83385,"text":"Antioch University","active":true,"usgs":false}],"preferred":false,"id":957123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rattner, Barnett 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":221814,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":957124,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274672,"text":"70274672 - 2026 - The impacts of co-circulating pathogens in Pacific herring depend on interactions between viral life-cycle traits and transmission parameters, highlighting interdependencies between pathogen epizootics","interactions":[],"lastModifiedDate":"2026-04-03T15:48:44.185294","indexId":"70274672","displayToPublicDate":"2026-03-05T08:37:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23782,"text":"Philosophical Transactions of the Royal Society, Series B","active":true,"publicationSubtype":{"id":10}},"title":"The impacts of co-circulating pathogens in Pacific herring depend on interactions between viral life-cycle traits and transmission parameters, highlighting interdependencies between pathogen epizootics","docAbstract":"

The average host susceptibility decreases as the epizootic progresses because easily infected hosts are first removed from the population. While host susceptibility is pathogen-specific, it is likely that host susceptibility is correlated between different pathogens, so that co-circulating pathogens may have reciprocal impacts on their epidemics. However, despite well-documented examples of concomitant infections in marine hosts, reciprocal epizootic effects have not been documented in wild marine organisms. We quantify reciprocal impacts between viral haemorrhagic septicaemia and viral erythrocytic necrosis in Pacific herring (Clupea pallasii) using field and laboratory work. We show that the causative viruses for both diseases circulate through herring populations and that infection with one pathogen has negative impacts on the epizootic and infection characteristics of the other pathogen, suggesting positive correlations in the susceptibility to infection between pathogens. We then use simulations of a two-strain pathogen model to show that the impact of the correlation is modulated by transmission parameters, such as the incubation period and the initial transmission rate. Our work shows that co-occurring epizootics pose a management challenge because single-pathogen management actions may amplify the epizootics of the non-targeted pathogen. This study provides a framework to evaluate the consequences of reciprocal epizootic impacts through field, experimental and modelling work.

","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rstb.2024.0329","usgsCitation":"Páez, D.J., Grady, C.A., Gregg, J.L., Batts, W.N., Ferreiro-Luce, S., Herron, V.L., Loeher, M.M., Williamson, S., and Hershberger, P., 2026, The impacts of co-circulating pathogens in Pacific herring depend on interactions between viral life-cycle traits and transmission parameters, highlighting interdependencies between pathogen epizootics: Philosophical Transactions of the Royal Society, Series B, v. 381, no. 1945, 20240329, 12 p., https://doi.org/10.1098/rstb.2024.0329.","productDescription":"20240329, 12 p.","ipdsId":"IP-180382","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Port Angeles Harbor","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.46245173833248,\n 48.14469328364527\n ],\n [\n -123.46245173833248,\n 48.11631496533502\n ],\n [\n -123.39897354240969,\n 48.11631496533502\n ],\n [\n -123.39897354240969,\n 48.14469328364527\n ],\n [\n -123.46245173833248,\n 48.14469328364527\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"381","issue":"1945","noUsgsAuthors":false,"publicationDate":"2026-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Páez, David James 0000-0001-9035-394X","orcid":"https://orcid.org/0000-0001-9035-394X","contributorId":296751,"corporation":false,"usgs":true,"family":"Páez","given":"David","middleInitial":"James","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grady, Courtney Ann 0009-0001-9079-2501","orcid":"https://orcid.org/0009-0001-9079-2501","contributorId":369229,"corporation":false,"usgs":true,"family":"Grady","given":"Courtney","middleInitial":"Ann","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gregg, Jacob L. 0000-0001-5328-5482 jgregg@usgs.gov","orcid":"https://orcid.org/0000-0001-5328-5482","contributorId":203912,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batts, William N.","contributorId":369230,"corporation":false,"usgs":false,"family":"Batts","given":"William","middleInitial":"N.","affiliations":[{"id":87741,"text":"Formerly U.S. Geological Survey, Western Fisheries Research Center, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":958651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferreiro-Luce, Shayla","contributorId":369245,"corporation":false,"usgs":false,"family":"Ferreiro-Luce","given":"Shayla","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":958682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herron, V. L.","contributorId":369247,"corporation":false,"usgs":false,"family":"Herron","given":"V.","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":958683,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loeher, Malina Mariko 0000-0001-9589-5641","orcid":"https://orcid.org/0000-0001-9589-5641","contributorId":365991,"corporation":false,"usgs":true,"family":"Loeher","given":"Malina","middleInitial":"Mariko","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958652,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williamson, Sarah","contributorId":369231,"corporation":false,"usgs":false,"family":"Williamson","given":"Sarah","affiliations":[{"id":87742,"text":"Alaska Pacific University, Fisheries, Aquatic Science, and Technology Laboratory, 4101 University Drive, Anchorage, AK","active":true,"usgs":false}],"preferred":false,"id":958653,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958654,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274161,"text":"ofr20261065 - 2026 - Evaluation of pathogen risks and testing considerations for Chinook salmon egg movements between New Zealand and California","interactions":[],"lastModifiedDate":"2026-03-04T15:20:21.949375","indexId":"ofr20261065","displayToPublicDate":"2026-03-03T12:16:41","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-1065","displayTitle":"Evaluation of Pathogen Risks and Testing Considerations for Chinook Salmon Egg Movements Between New Zealand and California","title":"Evaluation of pathogen risks and testing considerations for Chinook salmon egg movements between New Zealand and California","docAbstract":"

Executive Summary 

Oncorhynchus tshawytscha (Walbaum in Artedi, 1792; Chinook salmon) were historically abundant in the McCloud River but are now extirpated from this tributary owing to dam construction and lack of passage. Planning efforts to restore populations above Shasta and Keswick Dams are currently underway, including an evaluation of potential source populations. One potential source is New Zealand Chinook salmon, which are believed to have originated from tributaries of the Sacramento River. These fish could be returned to California if reintroduction risks, including risks of pathogen introduction, could be sufficiently mitigated. The U.S. Geological Survey was contracted to provide scientific support for reintroduction efforts, including evaluating the risks of pathogen transmission via the movement of Chinook salmon eggs from New Zealand to the McCloud River. This report estimates pathogen risks associated with egg movement and considers epidemiological and biosecurity measures to minimize these risks.

Pathogen risks associated with the movement of Chinook salmon eggs from New Zealand were evaluated based on pathogen virulence, transmission route, and geographic distribution. These criteria identified 14 moderate- and high-risk pathogens out of the 30 pathogens evaluated. Pathogen species and strains were considered high risk if they have the potential for vertical transmission (that is, transmission from parent to offspring), are moderately or highly virulent, and are exotic to the Sacramento River Basin. According to these criteria, we identified the following pathogens as high risk:

Strategic use of testing and biosecurity measures can minimize pathogen risks associated with the movement of eggs. The most effective measures include iodophor treatment of eggs to remove external pathogens, testing of all the adult fish from which gametes are obtained, and a quarantine period after transport to confirm pathogen testing results. Additional measures to enhance biosecurity could include testing the quarantined fish following emergence and (or) developing a fish health history of the source population through pathogen monitoring.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261065","collaboration":"Prepared in cooperation with California Department of Fish and Wildlife, Anchor QEA, and HDR","programNote":"Land Management Research Program and Species Management Research Program","usgsCitation":"Couch, C.E., Powell, D.B., and Lovy, J., 2026, Evaluation of pathogen risks and testing considerations for Chinook salmon egg movements between New Zealand and California: U.S. Geological Survey Open-File Report 2026–1065, 18 p., https://doi.org/10.3133/ofr20261065.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-182977","costCenters":[{"id":654,"text":"Western Fisheries Research 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\"}}]}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
5501- A Cook Underwood Road
Cook, Washington 98605-9717

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2026-03-03","noUsgsAuthors":false,"publicationDate":"2026-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Couch, Claire E. 0000-0003-4983-3719","orcid":"https://orcid.org/0000-0003-4983-3719","contributorId":359728,"corporation":false,"usgs":true,"family":"Couch","given":"Claire","middleInitial":"E.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":956726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, David B.","contributorId":367086,"corporation":false,"usgs":false,"family":"Powell","given":"David","middleInitial":"B.","affiliations":[{"id":87547,"text":"Formery USGS Western Fisheries Research Center","active":true,"usgs":false}],"preferred":false,"id":956727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovy, Jan 0000-0003-2704-0822","orcid":"https://orcid.org/0000-0003-2704-0822","contributorId":331539,"corporation":false,"usgs":true,"family":"Lovy","given":"Jan","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":956728,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274301,"text":"70274301 - 2026 - Efficacy of increased visual and olfactory cues for luring and trapping invasive tegu lizards","interactions":[],"lastModifiedDate":"2026-03-25T15:05:07.706857","indexId":"70274301","displayToPublicDate":"2026-03-02T07:55:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17102,"text":"Frontiers in Amphibian and Reptile Science","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of increased visual and olfactory cues for luring and trapping invasive tegu lizards","docAbstract":"

Controlling invasive wildlife species relies on the ability to efficiently remove individuals from the invaded environment. Thus, maximizing capture potential is of high interest, particularly for species that are difficult to capture. For invasive species such as the Argentine black and white tegu lizard (Salvator merianae), increasing attraction to traps could increase the probability of removal. While it has been established that S. merianae can be lured with a single chicken egg, the efficacy of increasing olfactory or visual cues to increase tegu captures has not been rigorously tested. To test this, we leveraged an ongoing National Park Service trapping effort near Everglades National Park. In 2023 and 2024, we randomly assigned traps to a control treatment (single real egg), increased olfactory and visual treatment (three real eggs), an increased visual plus standard olfactory treatment (one real egg and one decoy egg, or one real egg and two decoy eggs), or visual treatment only (three decoy eggs). We fitted Bayesian binomial models for tegu lizards and non-target species to the trapping data to assess how bait treatment, trap style, and trap location affected the daily probability of capture at a trap. Additionally, we fitted Bayesian linear models to test the effect of bait treatment on the size of tegus captured. We found that increasing the olfactory cue to three real eggs increased the probability of tegu capture, but not the probability of non-target species capture. Conversely, traps with one real egg and two decoy eggs increased the probability of non-target captures while reducing the probability of tegu captures. Trap style and trap location also had statistically significant effects. Bait treatment did not significantly influence the size of tegus captured; however, there was a weak effect suggesting juvenile and male tegus captured in traps with three real eggs were larger compared to traps with a single egg and two decoy eggs. Our results highlight potential improvements in tegu control methods that balance effective capture with minimizing non-target bycatch.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/famrs.2026.1758585","usgsCitation":"Kissel, A.M., Donmoyer, K.L., Sandfoss, M.R., Howard, J.C., Romagosa, C.M., and Yackel Adams, A.A., 2026, Efficacy of increased visual and olfactory cues for luring and trapping invasive tegu lizards: Frontiers in Amphibian and Reptile Science, v. 4, 1758585, 10 p., https://doi.org/10.3389/famrs.2026.1758585.","productDescription":"1758585, 10 p.","ipdsId":"IP-183287","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501599,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/famrs.2026.1758585","text":"Publisher Index Page"},{"id":501498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park, Southern Glades and Frog Pond Wildlife areas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.72257615830546,\n 25.470240548699877\n ],\n [\n -80.72257615830546,\n 25.321246280361024\n ],\n [\n -80.52864489446742,\n 25.321246280361024\n ],\n [\n -80.52864489446742,\n 25.470240548699877\n ],\n [\n -80.72257615830546,\n 25.470240548699877\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2026-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kissel, Amanda Marie 0000-0002-6346-7455","orcid":"https://orcid.org/0000-0002-6346-7455","contributorId":334356,"corporation":false,"usgs":true,"family":"Kissel","given":"Amanda","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donmoyer, Kevin L.","contributorId":150242,"corporation":false,"usgs":false,"family":"Donmoyer","given":"Kevin","middleInitial":"L.","affiliations":[{"id":17944,"text":"University of Hawaii, Pacific Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":957793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sandfoss, Mark Robert 0000-0002-0162-7265","orcid":"https://orcid.org/0000-0002-0162-7265","contributorId":328884,"corporation":false,"usgs":true,"family":"Sandfoss","given":"Mark","email":"","middleInitial":"Robert","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howard, James C.","contributorId":178546,"corporation":false,"usgs":false,"family":"Howard","given":"James","middleInitial":"C.","affiliations":[{"id":54672,"text":"National Park Service, Everglades National Park, 40001 SR 9336, Homestead, Florida 33034, USA","active":true,"usgs":false}],"preferred":false,"id":957795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romagosa, Christina M.","contributorId":316356,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","middleInitial":"M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":957796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957797,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274550,"text":"70274550 - 2026 - Diverse novel and avian-associated viruses in the ileal viromes of northern mockingbird (Mimus polyglottos)","interactions":[],"lastModifiedDate":"2026-04-02T13:42:58.219884","indexId":"70274550","displayToPublicDate":"2026-03-01T10:51:22","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":892,"text":"Archives of Virology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diverse novel and avian-associated viruses in the ileal viromes of northern mockingbird (Mimus polyglottos)","title":"Diverse novel and avian-associated viruses in the ileal viromes of northern mockingbird (Mimus polyglottos)","docAbstract":"

Viruses are the most abundant and diverse organisms on Earth, though only a small portion cause disease. Understanding viral diversity is key to understanding and predicting pathogen emergence and zoonotic spillover. Here, we use meta-transcriptomic sequencing to examine the viral communities in the ileum of 25 Northern Mockingbirds (Mimus polyglottos) from various locations across Texas. We assembled high-quality genomes of 43 viral species (40 species identified to 13 families, one to kingdom, and two to realm), 38 of which were novel. They tentatively represent avian- (n = 3), arthropod- (n = 21), plant- (n = 5) and fungi- (n = 4) associated, or other (n = 10) viruses. The arthropod-associated Dicistroviridae family was the most dominant, comprising known and potentially new species. Of potential epidemiological importance were three novel and avian-associated viruses: members of the families Hepeviridae and Picornaviridae, and a new Matryoshka RNA virus. The Matryoshka RNA virus 8 (MaRNAV-8) is sister to other Matryoshka RNA viruses, and its co-occurrence with haemosporida further supports the nested virus-parasite-vector-vertebrate host relationship of this group of viruses, with potential implications for parasite evolution, fitness and load and vector competence. The Picornaviridae virus is a member of an avian hepatovirus clade, found nested within a clade containing both the mammalian pathogens Hepatovirus A – I and the avian Tremovirus pathogens, suggestive of a newly discovered pathogen of Northern Mockingbird. Although the recovered Hepeviridae virus is of unknown pathology, its family members include the Hepatitis E viruses. With the great diversity and novelty described from ileal viromes, discriminating potential pathogens and commensal microbiota from viruses associated with food items remains challenging. A deeper understanding of virus transmission and the risk of potential zoonosis can be enhanced by tracking viruses through the food web and via inter-specific and predator-prey interactions, particular in areas subject to land-use change, where human-wildlife interactions are increased and the risks from emerging pathogens of veterinary and medical importance are more pronounced.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s00705-026-06575-8","usgsCitation":"Bourke, B.P., Drovetski, S.V., Ergunay, K., Linton, Y., and Voelker, G., 2026, Diverse novel and avian-associated viruses in the ileal viromes of northern mockingbird (Mimus polyglottos): Archives of Virology, v. 171, 108, 14 p., https://doi.org/10.1007/s00705-026-06575-8.","productDescription":"108, 14 p.","ipdsId":"IP-180399","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":502065,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00705-026-06575-8","text":"Publisher Index Page"},{"id":501958,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.07528601692556,\n 36.5445296885231\n ],\n [\n -103.0770109103406,\n 32.12961873163284\n ],\n [\n -106.31866695508597,\n 32.03902848227783\n ],\n [\n -106.5978541134408,\n 31.462640080459764\n ],\n [\n -103.89017536426314,\n 29.08576094461609\n ],\n [\n -102.79978710000094,\n 28.940620765862366\n ],\n [\n -102.83454888690599,\n 29.494139427425964\n ],\n [\n -102.03876252184376,\n 29.73111087770264\n ],\n [\n -101.15587713481554,\n 29.660641390160613\n ],\n [\n -99.39533234707125,\n 26.352693984392264\n ],\n [\n -97.14393462562668,\n 25.831429585636627\n ],\n [\n -93.56261612404725,\n 29.863347471667268\n ],\n [\n -93.88402283822776,\n 33.64343956065139\n ],\n [\n -97.35099459694389,\n 34.118254501041804\n ],\n [\n -99.9458632883015,\n 34.72062826933509\n ],\n [\n -99.92822224261991,\n 36.504724163412064\n ],\n [\n -103.07528601692556,\n 36.5445296885231\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"171","noUsgsAuthors":false,"publicationDate":"2026-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Bourke, Brian P.","contributorId":335297,"corporation":false,"usgs":false,"family":"Bourke","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":958252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drovetski, Sergei V. 0000-0002-1832-5597","orcid":"https://orcid.org/0000-0002-1832-5597","contributorId":229520,"corporation":false,"usgs":true,"family":"Drovetski","given":"Sergei","middleInitial":"V.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":958253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ergunay, Koray","contributorId":335300,"corporation":false,"usgs":false,"family":"Ergunay","given":"Koray","email":"","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":958254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linton, Yvonne-Marie","contributorId":335301,"corporation":false,"usgs":false,"family":"Linton","given":"Yvonne-Marie","email":"","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":958255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voelker, Gary","contributorId":229521,"corporation":false,"usgs":false,"family":"Voelker","given":"Gary","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":958256,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274284,"text":"70274284 - 2026 - Hyperspectral retrieval of phytoplankton absorption and community composition from NASA’s PACE-OCI in estuarine–coastal waters using a hybrid framework combining mixture-of-experts and Variational Autoencoder","interactions":[],"lastModifiedDate":"2026-03-24T17:58:00.328721","indexId":"70274284","displayToPublicDate":"2026-02-28T10:36:32","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Hyperspectral retrieval of phytoplankton absorption and community composition from NASA’s PACE-OCI in estuarine–coastal waters using a hybrid framework combining mixture-of-experts and Variational Autoencoder","docAbstract":"

Retrieving the phytoplankton absorption coefficient (aphy; m−1), one of the most spectrally rich inherent optical properties, remains challenging in optically complex coastal waters worldwide. Leveraging NASA's new hyperspectral mission, PACE, we introduce Hyper-MoE-VAE, a deep-learning architecture that integrates a Mixture-of-Experts with a Variational Autoencoder to retrieve high-dimensional aphy and subsequent estimation of phytoplankton community composition (PCC) from PACE-OCI hyperspectral remote sensing reflectance (Rrs). Pre-trained on global hyperspectral bio-optical datasets and fine-tuned using regional field Rrs–aphy pairings from inland– estuarine–coastal waters, Hyper-MoE-VAE demonstrated strong transferability and effective adaptation across regions. Validation with in-situ Rrs showed accurate aphy retrievals in Lake Erie (NRMSE = 0.12, ε = 17.10), Lake Pontchartrain (NRMSE = 0.11, ε = 37.12), and the Barataria–Terrebonne Estuary (NRMSE = 0.14, ε = 38.89). Using same-day PACE-OCI Level 2 Rrs, the model achieved comparable performance in Lake Erie (NRMSE = 0.19, ε = 55.19), Lake Pontchartrain (NRMSE = 0.14, ε = 51.39), and the Barataria–Terrebonne Estuary (NRMSE = 0.17, ε = 47.92). Hyper-MoE-VAE derived PACE-OCI hyperspectral aphy was further decomposed against mass-specific absorption spectra to estimate group-specific contributions to total chlorophyll a. The resulting PCC showed strong agreement with HPLC–CHEMTAX in Lake Erie (R2= 0.692) and Gulf estuarine–coastal systems (R2 = 0.732). Monte Carlo noise experiments further revealed group-dependent sensitivities, with diatoms and dinoflagellates showing moderate susceptibility to noise, while cyanobacteria and cryptophytes exhibited narrow uncertainty distributions. These results demonstrate Hyper-MoE-VAE's capability for regional, operational water-quality monitoring with PACE-OCI and its adaptability to current and future hyperspectral missions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2026.115327","usgsCitation":"Bai, X., Liu, B., Li, J., Xiong, Y., D'Sa, E.J., Baustian, M.M., Zhang, X., Grunert, B.K., Emeghiebo, C.O., Glasspie, C., and Yuan, X., 2026, Hyperspectral retrieval of phytoplankton absorption and community composition from NASA’s PACE-OCI in estuarine–coastal waters using a hybrid framework combining mixture-of-experts and Variational Autoencoder: Remote Sensing of Environment, v. 337, 115327, 21 p., https://doi.org/10.1016/j.rse.2026.115327.","productDescription":"115327, 21 p.","ipdsId":"IP-183464","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":501687,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2026.115327","text":"Publisher Index Page"},{"id":501480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes, Lake Pontchartrain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.98026146025376,\n 46.682013140642226\n ],\n [\n -90.422396423442,\n 35.665871696553445\n ],\n [\n -91.75807129638213,\n 28.880274469368075\n ],\n [\n -85.60463244761702,\n 28.94843644039912\n ],\n [\n -84.63467351669269,\n 34.847516695576886\n ],\n [\n -75.35467727698664,\n 44.62674716649638\n ],\n [\n -79.69951379257085,\n 42.91048225290065\n ],\n [\n -82.43165382508761,\n 42.336846755600035\n ],\n [\n -82.42607197782405,\n 45.94544889925933\n ],\n [\n -87.22784803627331,\n 48.41305438275214\n ],\n [\n -90.76218980539744,\n 47.92081108337736\n ],\n [\n -91.98026146025376,\n 46.682013140642226\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"337","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bai, Xingyu","contributorId":367738,"corporation":false,"usgs":false,"family":"Bai","given":"Xingyu","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":957604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Bingqing","contributorId":304014,"corporation":false,"usgs":false,"family":"Liu","given":"Bingqing","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":957605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Jiang","contributorId":167428,"corporation":false,"usgs":false,"family":"Li","given":"Jiang","email":"","affiliations":[],"preferred":false,"id":957606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiong, Yuanheng","contributorId":367739,"corporation":false,"usgs":false,"family":"Xiong","given":"Yuanheng","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":957607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"D'Sa, Eurico J.","contributorId":367740,"corporation":false,"usgs":false,"family":"D'Sa","given":"Eurico","middleInitial":"J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":957608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":957609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Xiaodong","contributorId":367741,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiaodong","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":957610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grunert, Brice K.","contributorId":367742,"corporation":false,"usgs":false,"family":"Grunert","given":"Brice","middleInitial":"K.","affiliations":[{"id":18143,"text":"Cleveland State University","active":true,"usgs":false}],"preferred":false,"id":957611,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Emeghiebo, Chisom O.","contributorId":367743,"corporation":false,"usgs":false,"family":"Emeghiebo","given":"Chisom","middleInitial":"O.","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":957612,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Glasspie, Cassie","contributorId":367744,"corporation":false,"usgs":false,"family":"Glasspie","given":"Cassie","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":957613,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yuan, Xu","contributorId":367734,"corporation":false,"usgs":false,"family":"Yuan","given":"Xu","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":957614,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70274266,"text":"70274266 - 2026 - Extreme precipitation variability and soil texture controls on water-table response","interactions":[],"lastModifiedDate":"2026-03-24T16:31:28.917628","indexId":"70274266","displayToPublicDate":"2026-02-27T09:28:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Extreme precipitation variability and soil texture controls on water-table response","docAbstract":"

Extreme precipitation events (EPEs), a key class of hydrometeorological extremes, are intensifying globally under climate change; however, their effects on water-table dynamics across varying soil textures remain poorly understood. To better understand the impacts of EPEs, we conducted one-dimensional modeling to evaluate water-table response time, displacement, recession time, and total recharge under EPEs of 0.20 m, 0.40 m, and 0.60 m amounts, applied over 1-, 7-, and 20-day durations across twelve soil textures. The results show that coarse soils (i.e., sand) respond within days, while fine soils (i.e., clay) may take over 200 days. Water-table displacement ranged from 0.30 to 1.64 m and increased with EPE magnitude. The time it took for water tables to recede ranged from 1.2 to 3.0 years. A first-order estimate of total possible recharge, calculated from porosity and displacement, ranged from 17% (clay) to 97% (sand), averaging ~63% across soil textures. These findings highlight that recharge is primarily governed by EPE magnitude and soil properties, not event duration. This modeling effort provides new insight into how soil texture modulates groundwater response to extreme precipitation, informing future water budget and resilience assessments.

","language":"English","publisher":"MDPI","doi":"10.3390/w18050587","usgsCitation":"Corona, C.R., Ge, S., Anderson, S.P., and Dickinson, J.E., 2026, Extreme precipitation variability and soil texture controls on water-table response: Water, v. 18, no. 5, 587, 20 p., https://doi.org/10.3390/w18050587.","productDescription":"587, 20 p.","ipdsId":"IP-160684","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":501680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w18050587","text":"Publisher Index Page"},{"id":501472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Corona, Claudia R.","contributorId":152548,"corporation":false,"usgs":false,"family":"Corona","given":"Claudia","middleInitial":"R.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":957469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ge, Shemin","contributorId":203465,"corporation":false,"usgs":false,"family":"Ge","given":"Shemin","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":957470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Suzanne P. 0000-0002-6796-6649","orcid":"https://orcid.org/0000-0002-6796-6649","contributorId":172732,"corporation":false,"usgs":false,"family":"Anderson","given":"Suzanne","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":957471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957472,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274118,"text":"70274118 - 2026 - Evaluating evidence of changing regional occupancy of four bat species in response to forest management practices","interactions":[],"lastModifiedDate":"2026-02-26T16:36:43.114128","indexId":"70274118","displayToPublicDate":"2026-02-23T09:23:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating evidence of changing regional occupancy of four bat species in response to forest management practices","docAbstract":"

Coordinated, regional strategies to guide effective management and conservation of forests can be used to balance conservation with management for other objectives such as timber, scenic viewsheds, and fire. A key part of these regional strategies is incorporating knowledge of how management actions may affect certain species, especially those that are sensitive or are of concern. However, knowledge of how management actions may affect species is inferred from studies conducted across small areas where the species’ behavior and forest conditions are easily assessed. Here, we examine how occupancy of four bat species responds to forest management across the eastern United States at regional scales. We used range-wide capture and stationary acoustic surveys from the North American Bat Monitoring Program from 2010 to 2020 to estimate yearly summer occupancy for four bat species of conservation concern identified in the U.S. Department of Agriculture Forest Service (USFS) Southern and Eastern Regions Bat Conservation Strategy: little brown bat (Myotis lucifugus), northern long-eared bat (Myotis septentrionalis), Indiana bat (Myotis sodalis), and tricolored bat (Perimyotis subflavus), and assessed the degree to which occupancy of each species changed after different vegetation management actions were implemented on USFS lands. We identified 78 different management actions that were hypothesized to influence summer bat occupancy at two spatial scales (5-km and 10-km) across the eastern United States from the Forest Service Activity Tracking System and grouped these management actions into four vegetation management types: clear-cutting, fire, thinning, and ground vegetation management. To evaluate potential effects of these vegetation management types on bat occupancy, we created a yearly management metric representing the average number of years that had passed since any one of the included management actions in each management type had been implemented in each 5-km or 10-km grid cell, weighted by the proportion of the grid cell covered by the management treatment history. We chose these metrics to ask if more management or management done recently had a larger effect on bat occupancy than less management or management done long-ago. We then fit Bayesian hierarchical multi-scale occupancy models for each species to assess how occupancy changed in response to the amount and time since implementation of each vegetation management type. Using the estimated relationships between the yearly metrics of management and bat occupancy, we created predictions for how bat occupancy responded at 1- and 5- years after implementation. We found substantial differences in the response of the four species to the four vegetation management types. Ground vegetation management provided the greatest increase in expected occupancy at 1 year after implementation for little brown bat, long-eared bat, and tricolored bat, while fire provided the greatest increase in expected occupancy for Indiana bat. Thinning provided increases for all species at 1 year after implementation, but even greater increases at 5 years after implementation. Clear-cutting, on the other hand, tended to result in decreased occupancy at both 1- and 5-years after implementation for each species and had the greatest effect on tricolored bat at 1 year after implementation. Clear evidence for how management types like these may be affecting bat populations can be used at regional scales to help private and public forest managers achieve their strategic goals.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2026.123639","usgsCitation":"Inman, R.D., Udell, B.J., Wray, A.K., Straw, B.R., Schuhmann, A.N., Davis, H.T., Sawyer, S.C., Reichert, B.E., 2026, Evaluating evidence of changing regional occupancy of four bat species in response to forest management practices: Forest Ecology and Management, v. 609, 123639, 18 p., https://doi.org/10.1016/j.foreco.2026.123639.","productDescription":"123639, 18 p.","ipdsId":"IP-175875","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":500610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2026.123639","text":"Publisher Index Page"},{"id":500544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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Center","active":true,"usgs":true}],"preferred":true,"id":956583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wray, Amy Kristine 0000-0001-9685-8308","orcid":"https://orcid.org/0000-0001-9685-8308","contributorId":334941,"corporation":false,"usgs":true,"family":"Wray","given":"Amy","email":"","middleInitial":"Kristine","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Straw, Bethany R. 0000-0001-9086-4600","orcid":"https://orcid.org/0000-0001-9086-4600","contributorId":271020,"corporation":false,"usgs":true,"family":"Straw","given":"Bethany","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuhmann, Andrea Nichole 0009-0005-8244-4303","orcid":"https://orcid.org/0009-0005-8244-4303","contributorId":329059,"corporation":false,"usgs":true,"family":"Schuhmann","given":"Andrea","email":"","middleInitial":"Nichole","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Helen Trice 0000-0001-5449-4331","orcid":"https://orcid.org/0000-0001-5449-4331","contributorId":336752,"corporation":false,"usgs":true,"family":"Davis","given":"Helen","middleInitial":"Trice","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sawyer, Sarah C.","contributorId":367020,"corporation":false,"usgs":false,"family":"Sawyer","given":"Sarah","middleInitial":"C.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":956588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956589,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274083,"text":"70274083 - 2026 - Site response models based on geometric parameters for southern California sedimentary basins","interactions":[],"lastModifiedDate":"2026-03-09T14:56:34.655448","indexId":"70274083","displayToPublicDate":"2026-02-23T08:23:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Site response models based on geometric parameters for southern California sedimentary basins","docAbstract":"

Site response in sedimentary basins is influenced by complex three-dimensional (3D) features, including trapping of seismic waves, focusing of seismic energy and basin resonance. Current ground motion models (GMMs) incorporate basin effects using one-dimensional parameters like VS30 and shear wave velocity isosurface depths, which are limited in capturing lateral and 3D effects. To address these limitations, we develop seismic site response models based on novel parameters that represent multi-dimensional properties of the Los Angeles Basin (LAB) geometry and shear wave velocity. We define a basin shape for the LAB using depth to subsurface geologic interfaces associated with the oldest sedimentary deposits (depth to a particular shear wave velocity horizon, i.e., 1.5 km/s - z1.5) and the depth to the crystalline basement (zcb) which are determined using geologic cross sections and community seismic velocity model profiles. We explore a suite of geometric descriptors computed for the LAB and southern California, from which three parameters with the greatest predictive potential are selected and evaluated using empirical ground motion residual analyses in combination with the Boore et al. GMM. The results demonstrate that the zonal heterogeneity index (\"mathematical), standard deviation of the absolute difference between z1.5 and zcb (\"mathematical) and standard deviation of zcb (\"mathematical) each provide a reduction in site-to-site variability (ϕS2S) of empirical GMMs. The reduction in ϕS2S is period-dependent, with average decreases of 3%, 26% and 6% for \"mathematical, \"mathematical, and \"mathematical, respectively. Although these reductions are modest from an engineering application perspective, they are statistically significant, underscoring the inherent difficulty in fully characterising complex basin effects. Collectively, these findings indicate that the inclusion of basin-specific geometric parameters yields measurable, albeit incremental, improvements in site response prediction and establishes a framework for the progressive refinement of seismic hazard characterisation within sedimentary basins.

","language":"English","publisher":"Wiley","doi":"10.1002/esp4.70027","usgsCitation":"Shams, R., Nweke, C.C., and Parker, G.A., 2026, Site response models based on geometric parameters for southern California sedimentary basins: Earthquake Spectra, v. 42, no. 1, e70027, 27 p., https://doi.org/10.1002/esp4.70027.","productDescription":"e70027, 27 p.","ipdsId":"IP-171681","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501101,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp4.70027","text":"Publisher Index Page"},{"id":500479,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.53506621436776,\n 35.21356617300536\n ],\n [\n -120.79600361096189,\n 34.90448000088518\n ],\n [\n -120.75474337287181,\n 34.34368243947756\n ],\n [\n -118.73627556859424,\n 33.915392671441865\n ],\n [\n -118.45980648687038,\n 34.843303775362216\n ],\n [\n -120.53506621436776,\n 35.21356617300536\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Shams, Rashid","contributorId":366973,"corporation":false,"usgs":false,"family":"Shams","given":"Rashid","affiliations":[{"id":47795,"text":"USC","active":true,"usgs":false}],"preferred":false,"id":956491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nweke, Chukwuebuka C.","contributorId":366974,"corporation":false,"usgs":false,"family":"Nweke","given":"Chukwuebuka","middleInitial":"C.","affiliations":[{"id":47795,"text":"USC","active":true,"usgs":false}],"preferred":false,"id":956492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":956493,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274566,"text":"70274566 - 2026 - Genetic structure in a previously extirpated population of gray wolves following reintroduction and natural recolonization","interactions":[],"lastModifiedDate":"2026-04-01T16:50:46.824141","indexId":"70274566","displayToPublicDate":"2026-02-19T09:40:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure in a previously extirpated population of gray wolves following reintroduction and natural recolonization","docAbstract":"

Genetic structuring in wildlife populations is driven by barriers that restrict gene flow as well as the history of population demography. Mechanisms driving genetic structuring can be nuanced in group-living species, such as gray wolves (Canis lupus). Behavioral factors, such as social affiliation and resistance, natal habitat imprinting, and trade-offs between dispersal from natal packs and territorial biding, affect habitat selection of wolves despite landscape barriers providing little resistance to their extensive dispersal capabilities. Wolves were previously extirpated from Idaho, USA, and current populations are the result of both reintroductions in 1995 and 1996 and natural dispersal from Canada. In this context we examined genetic structure of wolves in Idaho using 101 individuals genotyped at 18 nuclear DNA microsatellite loci and a subset of 38 individuals genotyped at 1019 single nucleotide polymorphism markers. We hypothesized panmictic (i.e., random mating) genetic structure in Idaho due to the long-distance dispersal abilities of gray wolves. Contrary to our hypothesis, we found three genetic clusters of gray wolves in Idaho, primarily supported by SNP markers. Microsatellite data suggested similar patterns, but permutation tests indicated these differences were not statistically significant. The extent of differentiation and evidence of gene flow, however, suggests that the three genetic clusters are not wholly isolated from one another. The distinctions between clusters spatially align with areas of reintroduction into central Idaho and Yellowstone National Park, as well ongoing natural recolonization from adjacent populations in Canada and Montana. Wolves at the periphery of analysis areas showed more admixture than those in the core, consistent with territoriality and mating behaviors contributing to genetic structuring. We demonstrate how management history, including reintroduction efforts, and animal behavior may interact and contribute to patterns of genetic structure in wild populations.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-025-01755-6","usgsCitation":"Clendenin, H.R., Ausband, D.E., Adams, J.R., Hohenlohe, P.A., and Waits, L.P., 2026, Genetic structure in a previously extirpated population of gray wolves following reintroduction and natural recolonization: Conservation Genetics, v. 27, 30, 11 p., https://doi.org/10.1007/s10592-025-01755-6.","productDescription":"30, 11 p.","ipdsId":"IP-136208","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-025-01755-6","text":"Publisher Index Page"},{"id":501953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Northern Rocky Mountains Wolf Recovery Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.08509261498602,\n 49.10500388508157\n ],\n [\n -117.05764655221488,\n 46.418730789204986\n ],\n [\n -116.5785938289533,\n 45.683554891812435\n ],\n [\n -117.26905107451866,\n 44.404354674727344\n ],\n [\n -117.05109052176243,\n 44.02557490237417\n ],\n [\n -116.97139685452663,\n 41.98267152652929\n ],\n [\n -111.21240510431065,\n 42.041428872098706\n ],\n [\n -111.13670361755304,\n 40.97752447458031\n ],\n [\n -104.10237201439321,\n 41.00804696280437\n ],\n [\n -104.10237201439321,\n 49.10500388508157\n ],\n [\n -117.08509261498602,\n 49.10500388508157\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2026-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Clendenin, Heather R.","contributorId":369027,"corporation":false,"usgs":false,"family":"Clendenin","given":"Heather","middleInitial":"R.","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":958319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Jennifer R.","contributorId":369028,"corporation":false,"usgs":false,"family":"Adams","given":"Jennifer","middleInitial":"R.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":958321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hohenlohe, Paul A.","contributorId":369029,"corporation":false,"usgs":false,"family":"Hohenlohe","given":"Paul","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":958322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":369030,"corporation":false,"usgs":false,"family":"Waits","given":"Lisette","middleInitial":"P.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":958323,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274549,"text":"70274549 - 2026 - Channel change and sediment transport in the Puyallup River watershed through 2022","interactions":[],"lastModifiedDate":"2026-03-31T13:38:43.216394","indexId":"70274549","displayToPublicDate":"2026-02-18T08:35:50","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Channel change and sediment transport in the Puyallup River watershed through 2022","docAbstract":"

The Puyallup River drains a 990 square mile watershed in western Washington, with headwaters on the glacier-covered flanks of Mount Rainier. Major tributaries include the White, Carbon, and Mowich Rivers. In the levee-confined reaches of the lower watershed, loss of flood conveyance due to sand and gravel deposition has been a chronic issue. Over much of the 20th century, flood conveyance was maintained through sediment removal, but this practice ended in the late 1990s. Flood hazard management activities since the 1990s have primarily involved levee removal or setback projects. Assessments of 1984-2009 repeat cross sections suggested that sediment deposition rates were particularly high in reaches with recent levee setbacks. However, there have been no assessments of recent deposition rates since the 2009 surveys. There are also concerns that intensifying flood hydrology or increased sediment delivery from Mount Rainier may exacerbate deposition. However, assessment of those risks has been hindered by limited understanding of watershed-scale sediment delivery and routing, particularly for coarse sand and gravel.

The U.S. Geological Survey, in cooperation with Pierce County, initiated this study to improve understanding of sediment deposition in the lower Puyallup River watershed. This work is primarily based on differencing of multiple aerial lidar datasets collected during 2002–2022, supplemented by early 1990 photogrammetric elevation datasets, geomorphic assessments of streamgage data, historical topographic surveys from 1907, and previously collected sediment transport measurements. Analyses cover the Puyallup, Carbon, and Mowich Rivers, but do not include the White River.

During 2004–2020, repeat aerial lidar indicates that 1.3 ± 0.3 million yd3 of sediment accumulated in the lower 20 valley miles (VMs) of the Puyallup River, averaging 80,000 ± 20,000 cubic yards per year (yd3/yr). Deposition was observed during both 2004–11 and 2011–20 lidar differencing intervals. This continued a long-term depositional trend that extends back to at least 1977. From 2004 to 2011, deposition rates along the Soldiers Home levee setback reach, the only setback project downstream of VM 20 completed prior to 2011, were approximately four times higher than in adjacent unmodified reaches. From 2011 to 2020, two additional setback projects were completed; volumetric deposition rates over all three setback reaches were similar to adjacent unmodified reaches, suggesting elevated setback deposition in the 2004–11 interval may have been influenced by an extreme flood in November 2006. These levee setback projects increased the local cross-sectional area of the floodway, used as a rough proxy for relative flood conveyance, by 50 to 200 percent above 2004 conditions. If deposition continued at recent rates, cross-sectional area over the levee setback reaches would be reduced back to 2004 values by 2050-90.

Deposition also occurred over the lower six VMs of the Carbon River during 2004–20, though volumes (0.15 ± 0.09 million yd3) were an order of magnitude lower than along the Puyallup River. Relatively lower deposition rates in the Carbon River are most likely the combined result of modestly lower incoming sediment loads, modestly steeper channel slope, and the additional sediment transport capacity provided by two large non-glacial tributaries that enter the Carbon River near VM 5.

Upstream of the depositional reaches described above, 2002–22 sediment storage trends along the Puyallup, Carbon, and Mowich Rivers were predominately negative (net erosion) up to the Mount Rainier National Park boundary. Net erosion was the result of bank and bluff erosion exceeding deposition across wetted channel and bare gravel areas, as opposed to uniform vertical downcutting. Net erosion along these river valleys delivered 3.4 ± 0.6 million yd3 to the river system, equivalent to 190,000 ± 35,000 yd3/yr. Most of that volume was supplied by erosion of relatively low (4–10 ft) surfaces along the Puyallup and Mowich Rivers and tall (300 ft) glacial bluffs along the lower Carbon River. Substantial aggradation from 1984 to 2009 reported by Czuba and others (2010) along reaches of the Puyallup River (VM 19–22) where levee confinement has recently been removed was most likely an artifact of methodologic bias.

The Puyallup, Mowich, and Carbon Rivers drain five distinct glaciated watersheds on the flanks of Mount Rainier, four of which were assessed in this study. All four watersheds were impacted by an extreme November 2006 rainstorm. Between 2002 and 2008, debris flows occurred in all four headwater areas, collectively eroding at least 2.1 million yd3 of sediment. These debris flows formed distinct deposits one to two miles downstream of source areas, depositing 30-50 percent of the material eroded upstream. From 2008 to 2022, no headwater debris flows were observed and overall rates of geomorphic change in the headwaters were low. Rivers eroded into debris flow deposits emplaced over the 2002–08 interval, but re-deposited equivalent volumes of material within a half mile downstream.

Stage-discharge relations at five streamgages on upland rivers draining Mount Rainier show either net channel incision or dynamic variability with no long-term trend over the past 60–100 years. Observations of pervasive river valley erosion and stable or incising trends at long-term streamgages in the upper watershed do not support prior claims of widespread and accelerating aggradation of upland rivers draining Mount Rainier.

Erosion and deposition volumes estimated in this report were combined with sediment transport estimates from limited suspended sediment and bedload measurements, estimates of sub-glacial erosion rates, and sediment delivery from non-glacial tributaries to construct watershed-scale sediment budgets for the Puyallup River watershed. During 2004–20, the estimated sediment load entering the depositional lowlands was well balanced by estimated inputs from, in order of relative magnitude, subglacial erosion (33–60 percent of total sediment load), erosion along the major river valleys (25–45 percent), erosion in recently deglaciated headwater areas (7–17 percent) and non-glacial tributaries (3–9 percent). These results are specific to the study period and represent total sediment loads, most of which is fine material carried in suspension. The relative sourcing of sand and gravel may be different than implied by this sediment budget.

Downstream of VM 12, comparison of 1907 and 2009 channel surveys show net lowering of the channel thalweg of 4–12 ft. A long-term gage near VM 22 shows lowering of 4–5 ft through the 1960s. Lowering at both locations was inferred to be a channel response to the substantial straightening, and so steepening, of the river during major phases of levee construction through the early and mid-20th century.

Application of a simple empirical bedload-discharge power-law relation to an ensemble of model-estimated daily mean discharge records in the lower Puyallup River between 1977 and 2100 projects that annual bedload transport capacity in the lower Puyallup River will increase by 20–60 percent by the middle of the 21st century. Actual changes in bedload transport and deposition rates will depend on concurrent changes in sediment supply and local hydraulics governing deposition.

This report presents several key conclusions. First, the persistence and spatial patterns of sand and gravel deposition along the lower Puyallup River support prior claims that deposition is fundamentally caused by decreases in channel slope moving downstream. Given this underlying cause and the abundance of sand and gravel available to be transported downstream, deposition is likely to continue for the foreseeable future. Second, despite continued sediment deposition, recent levee setback projects in the lower Puyallup River will likely provide several decades of flood conveyance benefits relative to a no-action alternative. Third, while the rivers linking Mount Rainier to the Puget Sound lowlands have often been discussed as conduits that either pass or accumulate sediment from Mount Rainier, observations from 2002–22 show these river valleys acting as substantial sediment sources, delivering three times more sediment than recently deglaciated headwater areas on Mount Rainier. While the persistence and underlying cause of recent river valley erosion remain unknown, sediment storage dynamics along these river valleys are likely to be a major control on sand and gravel delivery to the lower watershed.

","language":"English","publisher":"EarthArXiv","doi":"10.31223/X5HR0N","usgsCitation":"Anderson, S.W., 2026, Channel change and sediment transport in the Puyallup River watershed through 2022: EarthArXiv, preprint posted February 18, 2026, https://doi.org/10.31223/X5HR0N.","productDescription":"189 p.","ipdsId":"IP-180215","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":501853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Scott W. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":196687,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958251,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70274072,"text":"70274072 - 2026 - Detecting snow avalanche activity using infrasound: Hooker Valley, New Zealand","interactions":[],"lastModifiedDate":"2026-02-23T16:38:05.726917","indexId":"70274072","displayToPublicDate":"2026-02-17T10:28:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2869,"text":"New Zealand Journal of Geology and Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Detecting snow avalanche activity using infrasound: Hooker Valley, New Zealand","docAbstract":"

Snow avalanches pose considerable hazards to people and infrastructure in alpine environments. Traditional avalanche monitoring relies on meteorological data and visual observations, which can be limited in scope and timeliness. Infrasound offers a promising complementary monitoring tool by detecting the low-frequency sound waves generated by avalanches. Here, we present infrasound and camera observations during a 50-day field campaign in the Hooker Valley of Aoraki/Mount Cook National Park, New Zealand. Our study detected seven avalanches with the cameras, whereas the infrasound system identified only one of these events, which was the largest and occurred under conditions that likely favoured infrasound propagation. The infrasound system recorded numerous other events not captured by the cameras, indicating the benefit of further investigation to determine their sources. These findings highlight the potential of infrasound technology for detecting avalanches and providing broad spatial coverage, capturing events in areas not monitored by cameras, while also showcasing limitations in infrasound capabilities. The limited detection of smaller avalanches underscores the opportunity for further research to enhance detection capabilities and understand environmental influences such as snow cover and wind noise. Overall, this study emphasises the utility of multidisciplinary monitoring techniques to improve avalanche detection in alpine environments.

","language":"English","publisher":"Wiley","doi":"10.1002/jgo2.70015","usgsCitation":"Watson, L., Miller, A., Anderson, J., Toney, L., Ardid, A., 2026, Detecting snow avalanche activity using infrasound: Hooker Valley, New Zealand: New Zealand Journal of Geology and Geophysics, v. 69, no. 1, e70015, 16 p., https://doi.org/10.1002/jgo2.70015.","productDescription":"e70015, 16 p.","ipdsId":"IP-175825","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":500586,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgo2.70015","text":"Publisher Index Page"},{"id":500419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","city":"Hooker Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 170.26486817242153,\n -43.599726450780764\n ],\n [\n 170.1412259579667,\n -43.599726450780764\n ],\n [\n 170.1412259579667,\n -43.721673594304434\n ],\n [\n 170.26486817242153,\n -43.721673594304434\n ],\n [\n 170.26486817242153,\n -43.599726450780764\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"69","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Watson, Leighton 0000-0003-1127-3613","orcid":"https://orcid.org/0000-0003-1127-3613","contributorId":366966,"corporation":false,"usgs":false,"family":"Watson","given":"Leighton","affiliations":[{"id":87515,"text":"University of Canterbury, Christchurch, New Zealand","active":true,"usgs":false}],"preferred":false,"id":956439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Aubrey","contributorId":355134,"corporation":false,"usgs":false,"family":"Miller","given":"Aubrey","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":956440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Jacob F. 0000-0001-6447-6778","orcid":"https://orcid.org/0000-0001-6447-6778","contributorId":268017,"corporation":false,"usgs":false,"family":"Anderson","given":"Jacob F.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":956441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toney, Liam 0000-0003-0167-9433","orcid":"https://orcid.org/0000-0003-0167-9433","contributorId":257264,"corporation":false,"usgs":true,"family":"Toney","given":"Liam","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ardid, Alberto 0000-0001-8040-8193","orcid":"https://orcid.org/0000-0001-8040-8193","contributorId":366967,"corporation":false,"usgs":false,"family":"Ardid","given":"Alberto","affiliations":[{"id":87515,"text":"University of Canterbury, Christchurch, New Zealand","active":true,"usgs":false}],"preferred":false,"id":956443,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273929,"text":"70273929 - 2026 - Assessment of antibiotic resistance genes in Caribbean corals, including those treated with amoxicillin","interactions":[],"lastModifiedDate":"2026-02-18T15:41:02.87743","indexId":"70273929","displayToPublicDate":"2026-02-16T08:34:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of antibiotic resistance genes in Caribbean corals, including those treated with amoxicillin","docAbstract":"

The decimation of reefs from stony coral tissue loss disease prompted the use of a topical amoxicillin treatment to prevent coral mortality. Application of this treatment led to concerns about unintentional impacts such as potential alteration of the coral microbiome and possible spread of antibiotic resistance. We used three different methodologies—microbial RNA sequencing, 16S rRNA amplicon surveys, and microbial qPCR array—to assess these concerns and to establish a baseline of antibiotic resistance genes (ARGs) in untreated coral microbes. We conducted microbial RNA sequencing on wild Montastraea cavernosa coral mucus samples collected before and 24 h after amoxicillin application. While diverse antibiotic resistance genes (ARGs) were expressed, no differences in ARG expression were detected after amoxicillin treatment. Additionally, there were no notable changes in the microbial communities between the before and after samples. In a separate experiment, a microbial qPCR array was used to assess differences in ARGs over longer timescales using cores from wild Colpophyllia natans, comparing never-treated corals with ones treated a single time seven months prior and with those treated multiple times seven months and more prior. No clinically relevant ARGs were detected across any samples. A small number of above-detection reads (4 in the never-treated corals, 2 in the once-treated corals, and 0 in the multi-treated corals) may indicate weak amplification of similar environmental (non-anthropogenic) ARGs in the corals. Results indicate that the localized topical application of amoxicillin to prevent mortality of SCTLD-affected corals does not: (1) significantly disrupt microbiomes, (2) increase ARG expression in adjacent tissues of these species within 24 h, nor (3) increase abundance of clinically relevant ARGs over a 7 month time period.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s00338-026-02832-z","usgsCitation":"Neely, K.L., Kellogg, C.A., Voelschow, J.J., Cauvin, A.R., Reed, S.A., Rubin, E., and Meyer, J.L., 2026, Assessment of antibiotic resistance genes in Caribbean corals, including those treated with amoxicillin: Coral Reefs, 14 p., https://doi.org/10.1007/s00338-026-02832-z.","productDescription":"14 p.","ipdsId":"IP-165548","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":500253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00338-026-02832-z","text":"Publisher Index Page"},{"id":500143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys National Marine Sanctuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.88542785512071,\n 25.86582460746976\n ],\n [\n -81.88542785512071,\n 24.727471962589036\n ],\n [\n -79.85775116113955,\n 24.727471962589036\n ],\n [\n -79.85775116113955,\n 25.86582460746976\n ],\n [\n -81.88542785512071,\n 25.86582460746976\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Neely, Karen L.","contributorId":366376,"corporation":false,"usgs":false,"family":"Neely","given":"Karen","middleInitial":"L.","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":955787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":955788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voelschow, Julie Jenice 0000-0002-6605-9668","orcid":"https://orcid.org/0000-0002-6605-9668","contributorId":298433,"corporation":false,"usgs":true,"family":"Voelschow","given":"Julie","email":"","middleInitial":"Jenice","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":955789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cauvin, Allison R.","contributorId":297877,"corporation":false,"usgs":false,"family":"Cauvin","given":"Allison","middleInitial":"R.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":955790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Sydney A.M.","contributorId":366378,"corporation":false,"usgs":false,"family":"Reed","given":"Sydney","middleInitial":"A.M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":955791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rubin, Ewelina","contributorId":366380,"corporation":false,"usgs":false,"family":"Rubin","given":"Ewelina","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":955792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meyer, Julie L.","contributorId":366382,"corporation":false,"usgs":false,"family":"Meyer","given":"Julie","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":955793,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274639,"text":"70274639 - 2026 - Constructed value of information with iterative scoring and parametric uncertainty to identify management-relevant research priorities for a declining raptor species","interactions":[],"lastModifiedDate":"2026-04-03T16:16:31.394812","indexId":"70274639","displayToPublicDate":"2026-02-12T11:13:21","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Constructed value of information with iterative scoring and parametric uncertainty to identify management-relevant research priorities for a declining raptor species","docAbstract":"

Constructed value of information (CVoI) is an expert elicitation decision-analytic tool used to prioritize sources of uncertainty based on their potential to improve decision outcomes if resolved. Despite increased application of CVoI, the robustness of CVoI prioritization of sources of uncertainty relative to differences in expert elicitation and scoring methods has not been evaluated. We engaged a group of species experts in a decision-analytic process to elicit uncertainties, framed as alternative hypotheses, about current population declines of the American kestrel (Falco sparverius) in the United States. Participants scored 13 hypotheses across 3 CVoI criteria, which are defined as constructed scales. Rather than experts selecting a single score per criterion, we used a likelihood point method to incorporate parametric uncertainty in the scoring process, in which experts were given 100 points to distribute across possible score categories within the criterion-specific constructed scale. Experts provided scores over 2 scoring rounds, with an opportunity to review and discuss initial scores between rounds. We used a Shannon entropy calculation to quantify how evenly participants allotted their points. We used simulation to evaluate the robustness of our prioritization results relative to a scoring method in which participants selected a single score category for each criterion. Participants often spread their points across 2 adjacent scores, reflecting parametric uncertainty. For one third of the hypothesis-scoring round combinations, the prioritization results differed in approximately 50% of simulations. The highest scoring hypotheses related to how the use of artificial versus natural nest cavities affects fecundity or survival, whether winter roosting sites are a limiting factor for population growth, and whether gamebird habitat management may benefit kestrel populations. Our CVoI prioritization framework can be used to develop collaborative research that is directly relevant to a management decision and is an advance in eliciting more representative expert beliefs.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.70227","usgsCitation":"Davis, K.P., Eaton, M.J., Bjerre, E.R., White, H.M., Boal, C.W., Herner-Thogmartin, J.H., Robinson, O., and Lawson, A.J., 2026, Constructed value of information with iterative scoring and parametric uncertainty to identify management-relevant research priorities for a declining raptor species: Conservation Biology, https://doi.org/10.1111/cobi.70227.","ipdsId":"IP-174796","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Kristin P.","contributorId":369136,"corporation":false,"usgs":false,"family":"Davis","given":"Kristin","middleInitial":"P.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":958514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":958515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjerre, Emily R.","contributorId":369138,"corporation":false,"usgs":false,"family":"Bjerre","given":"Emily","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":958516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, Hillary M.","contributorId":369139,"corporation":false,"usgs":false,"family":"White","given":"Hillary","middleInitial":"M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":958517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herner-Thogmartin, Jennifer H.","contributorId":369140,"corporation":false,"usgs":false,"family":"Herner-Thogmartin","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":958519,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, Orin J.","contributorId":288389,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin J.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":958684,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lawson, Abigail Jean 0000-0002-2799-8750","orcid":"https://orcid.org/0000-0002-2799-8750","contributorId":276319,"corporation":false,"usgs":true,"family":"Lawson","given":"Abigail","email":"","middleInitial":"Jean","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":958521,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274235,"text":"70274235 - 2026 - Thiaminase I activity is high in grass and silver carp, but negligible in bighead and black carp","interactions":[],"lastModifiedDate":"2026-03-18T12:32:27.223966","indexId":"70274235","displayToPublicDate":"2026-02-05T14:12:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Thiaminase I activity is high in grass and silver carp, but negligible in bighead and black carp","docAbstract":"

Bighead carp (Hypophthalmichthys nobilis), black carp (Mylopharyngodon piceus), grass carp (Ctenopharyngodon idella), and silver carp (H. molitrix) have spurred wide concern of potential ecosystem disruption as they threaten to invade the Laurentian Great Lakes. Besides competition for resources, carp may also have disadvantageous nutrition for predators. One biochemical aspect to consider in carp is production of the enzyme thiaminase that cleaves thiamine (vitamin B1), making it unavailable to most vertebrates. The function of thiaminase within prey fishes is unclear, but roughly half of all fishes tested have measurable thiaminase activity. Predators consuming large volumes of prey with high thiaminase activity can develop thiamine deficiency, ultimately leading to offspring mortality. Three invasive carp (black carp, grass carp, and bighead carp) have no published thiaminase data. We tested juvenile (<160 mm standard length) black carp (n = 38), bighead carp (n = 7), grass carp (n = 50), and silver carp (n = 50) for thiaminase activity. All four species had measurable activity; however, grass carp had statistically higher thiaminase activity (p < 0.001; median = 61 nmol/g/min) than the other three species. Silver carp had the second highest thiaminase activity (14 nmol/g/min). Bighead (2.7 nmol/g/min) and black (2.2 nmol/g/min) carp had the lowest thiaminase activity; activities were often near detection limits. Predators with diets heavily composed of grass carp or silver carp may experience thiamine deficiency, though seasonal variation in carp size and other food source availability may determine potential effects of invasive carp predation in Great Lakes food webs.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102751","usgsCitation":"Rowland, F.E., Byrd, C.G., and Kroboth, P., 2026, Thiaminase I activity is high in grass and silver carp, but negligible in bighead and black carp: Journal of Great Lakes Research, v. 52, no. 1, 102751, 8 p., https://doi.org/10.1016/j.jglr.2026.102751.","productDescription":"102751, 8 p.","ipdsId":"IP-183322","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":501233,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70274235/images"},{"id":501232,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70274235/70274235.XML"},{"id":501231,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70274235/full"},{"id":501229,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rowland, Freya Elizabeth 0000-0002-1041-5301","orcid":"https://orcid.org/0000-0002-1041-5301","contributorId":302395,"corporation":false,"usgs":true,"family":"Rowland","given":"Freya","email":"","middleInitial":"Elizabeth","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Curtis G. 0000-0002-5124-5652","orcid":"https://orcid.org/0000-0002-5124-5652","contributorId":210798,"corporation":false,"usgs":true,"family":"Byrd","given":"Curtis","email":"","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroboth, Patrick 0000-0002-9447-4818","orcid":"https://orcid.org/0000-0002-9447-4818","contributorId":216578,"corporation":false,"usgs":true,"family":"Kroboth","given":"Patrick","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273867,"text":"70273867 - 2026 - Cotton farming affects ileal virome in a sedentary wild passerine","interactions":[],"lastModifiedDate":"2026-02-10T15:01:13.562068","indexId":"70273867","displayToPublicDate":"2026-02-03T07:54:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23298,"text":"Animal Microbiome","active":true,"publicationSubtype":{"id":10}},"title":"Cotton farming affects ileal virome in a sedentary wild passerine","docAbstract":"

Although a few studies have focused on avian gut virome variation in response to environmental stressors, none have assessed virome in relation to the production of chemically intensive crop-based agriculture that alters food resources and detrimentally affects various aspects of avian health and fitness. In this study, we used shotgun metatranscriptomics to assess whether exposure to cotton (Gossypium spp.) production had a deleterious effect on the ileal virome of sedentary northern mockingbirds (Mimus polyglottos) sampled from two cotton-producing areas (16 birds in total) and one uncultivated area (7 birds) in Texas, USA. We recovered 43 viruses representing 13 virus families, which included two viruses that appear to be potential vertebrate pathogens. Individual sample richness varied from 25 to 33 viruses. Both virome richness (Adj. r2 = 0.247, F(2, 20) = 4.615, P = 0.022) and composition (r2 = 0.370, F(2, 20) = 5.883, P = 0.001) differed among three sampling regions. Cotton production was associated with the increase of virome richness (Adj. r2 = 0.283, df = 22, P = 0.005). Pesticide occurrence data collected using silicone bands at the three sites suggest that virome compositional changes are not only associated with total pesticide exposure but are also particularly sensitive to the pesticide combinations detected at each location.

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\"}}]}","volume":"8","noUsgsAuthors":false,"publicationDate":"2026-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Drovetski, Sergei V. 0000-0002-1832-5597","orcid":"https://orcid.org/0000-0002-1832-5597","contributorId":229520,"corporation":false,"usgs":true,"family":"Drovetski","given":"Sergei","middleInitial":"V.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":955328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourke, Brian P.","contributorId":335297,"corporation":false,"usgs":false,"family":"Bourke","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":955329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferreira, Carolina F. 0000-0001-6303-5954","orcid":"https://orcid.org/0000-0001-6303-5954","contributorId":359793,"corporation":false,"usgs":false,"family":"Ferreira","given":"Carolina","middleInitial":"F.","affiliations":[{"id":85922,"text":"Department of Ecology and Conservation Biology, 2258 TAMU, Texas A&M University, College Station, TX 77843, USA","active":true,"usgs":false}],"preferred":false,"id":955331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ergunay, 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Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955334,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Voelker, Gary","contributorId":229521,"corporation":false,"usgs":false,"family":"Voelker","given":"Gary","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":955335,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273808,"text":"70273808 - 2026 - Simulated ground motion dataset in the Azores Plateau, Portugal, on rock and soil sites","interactions":[],"lastModifiedDate":"2026-02-03T15:02:37.82341","indexId":"70273808","displayToPublicDate":"2026-02-02T07:53:36","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23286,"text":"Journal of Earthquake Engineering (JEE)","active":true,"publicationSubtype":{"id":10}},"title":"Simulated ground motion dataset in the Azores Plateau, Portugal, on rock and soil sites","docAbstract":"

Building on a previously developed bedrock dataset, this study extends the Azores Plateau ground motion simulations to include soil-amplified records and introduces a comprehensive validation framework. Soil amplification is modeled using one-dimensional soil profiles. A stochastic source-based approach is employed to generate the dataset, incorporating randomization of input-model parameters to account for the aleatory uncertainty in seismic activity. The accuracy of the dataset is verified through a comprehensive validation framework, showing that the randomization effectively captures variance and inter-period correlation observed in records. This work provides a robust dataset for advancing seismic hazard and risk assessment in the Azores Plateau.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/13632469.2026.2619832","usgsCitation":"Karimzadeh, S., Hussaini, S., Caicedo, D., Alexandra Carvalho, Rezaeian, S., and Lourenco, P.B., 2026, Simulated ground motion dataset in the Azores Plateau, Portugal, on rock and soil sites: Journal of Earthquake Engineering (JEE), 29 p., https://doi.org/10.1080/13632469.2026.2619832.","productDescription":"29 p.","ipdsId":"IP-184242","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":499929,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/13632469.2026.2619832","text":"Publisher Index Page"},{"id":499438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Portugal","otherGeospatial":"central and eastern Azores islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -28.93285079773804,\n 39.26675694602011\n ],\n [\n -28.93285079773804,\n 38.11219810967543\n ],\n [\n -26.93875496541213,\n 38.11219810967543\n ],\n [\n -26.93875496541213,\n 39.26675694602011\n ],\n [\n -28.93285079773804,\n 39.26675694602011\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Karimzadeh, Shaghayegh","contributorId":365826,"corporation":false,"usgs":false,"family":"Karimzadeh","given":"Shaghayegh","affiliations":[{"id":87230,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hussaini, S.M. Sajad","contributorId":365827,"corporation":false,"usgs":false,"family":"Hussaini","given":"S.M. Sajad","affiliations":[{"id":87230,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caicedo, Daniel","contributorId":365828,"corporation":false,"usgs":false,"family":"Caicedo","given":"Daniel","affiliations":[{"id":87230,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexandra Carvalho","contributorId":365829,"corporation":false,"usgs":false,"family":"Alexandra Carvalho","affiliations":[{"id":87231,"text":"National Laboratory for Civil Engineering (LNEC), Lisbon, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":238513,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":954898,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lourenco, Paulo B.","contributorId":365830,"corporation":false,"usgs":false,"family":"Lourenco","given":"Paulo","middleInitial":"B.","affiliations":[{"id":87230,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954899,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273826,"text":"70273826 - 2026 - Carbon sequestration along a gradient of tidal marsh degradation in response to sea level rise","interactions":[],"lastModifiedDate":"2026-02-05T16:13:45.501272","indexId":"70273826","displayToPublicDate":"2026-01-30T08:43:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Carbon sequestration along a gradient of tidal marsh degradation in response to sea level rise","docAbstract":"

Tidal marshes are considered one of the world's most efficient ecosystems for belowground organic carbon sequestration and hence climate mitigation. Marsh systems are however also vulnerable to degradation due to climate-induced sea level rise, whereby marsh vegetation conversion to open water often follows distinct spatial patterns: levees (i.e. marsh zones < 10 m from tidal creeks) show lower vulnerability of vegetation conversion to open water than basins (i.e. interior marsh zones > 30 m from creeks). Here, we use sediment cores to investigate spatial variations in organic carbon accumulation rates (OCAR) in a microtidal system (Blackwater marshes, Maryland, USA): (1) across a gradient of marsh zones with increasing marsh degradation, assessed as increasing ratio of unvegetated versus vegetated marsh area and (2) by comparing levees versus basins. We show that OCAR is up to four times higher on marsh levees than in adjacent basins. The data suggest that this is caused by spatial variation in three processes: sediment accretion rate, vegetation productivity, and sediment compaction, which are all higher on levees. Additionally, OCAR was observed to increase with increasing degree of marsh degradation in response to sea level rise. We hypothesize this may be due to more soil waterlogging in more degraded marsh zones, which may decrease carbon decomposition. Our results highlight that tidal marsh levees, in a microtidal system, are among the fastest soil organic carbon sequestration systems on Earth, and that both levees and basins sustain their carbon accumulation rate along gradients of increasing marsh degradation in response to sea level rise.

","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-23-851-2026","usgsCitation":"Huyzentruyt, M., Wens, M., Fivash, G.S., Walters, D., Bouillon, S., Carr, J., Guntenspergen, G., Kirwan, M.L., and Temmerman, S., 2026, Carbon sequestration along a gradient of tidal marsh degradation in response to sea level rise: Biogeosciences, v. 23, no. 2, p. 851-865, https://doi.org/10.5194/bg-23-851-2026.","productDescription":"15 p.","startPage":"851","endPage":"865","ipdsId":"IP-179289","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499932,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-23-851-2026","text":"Publisher Index Page"},{"id":499586,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Blackwater marshes, Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.18285542290785,\n 38.414369990989655\n ],\n [\n -76.18285542290785,\n 38.19133724500452\n ],\n [\n -75.92909587593012,\n 38.19133724500452\n ],\n [\n -75.92909587593012,\n 38.414369990989655\n ],\n [\n -76.18285542290785,\n 38.414369990989655\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Huyzentruyt, Mona","contributorId":365696,"corporation":false,"usgs":false,"family":"Huyzentruyt","given":"Mona","affiliations":[{"id":64273,"text":"University of Antwerp","active":true,"usgs":false}],"preferred":false,"id":955101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wens, Maarten","contributorId":365981,"corporation":false,"usgs":false,"family":"Wens","given":"Maarten","affiliations":[{"id":64273,"text":"University of Antwerp","active":true,"usgs":false}],"preferred":false,"id":955102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fivash, Gregory S.","contributorId":365982,"corporation":false,"usgs":false,"family":"Fivash","given":"Gregory","middleInitial":"S.","affiliations":[{"id":64273,"text":"University of Antwerp","active":true,"usgs":false}],"preferred":false,"id":955103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David 0000-0002-5836-681X waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-5836-681X","contributorId":270366,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":955104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bouillon, Steven","contributorId":332316,"corporation":false,"usgs":false,"family":"Bouillon","given":"Steven","email":"","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":955105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carr, Joel 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":220098,"corporation":false,"usgs":true,"family":"Carr","given":"Joel","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":955106,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guntenspergen, Glenn 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":220096,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":955107,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":955108,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Temmerman, Stijn","contributorId":189204,"corporation":false,"usgs":false,"family":"Temmerman","given":"Stijn","email":"","affiliations":[],"preferred":false,"id":955109,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273801,"text":"70273801 - 2026 - Restoration based on cost-benefit optimization: A grasslands pilot study","interactions":[],"lastModifiedDate":"2026-02-03T14:09:24.4545","indexId":"70273801","displayToPublicDate":"2026-01-29T15:35:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Restoration based on cost-benefit optimization: A grasslands pilot study","docAbstract":"

Ecological restoration is essential to meeting global biodiversity conservation goals. Given limited conservation budgets, deciding where to restore habitat is a key challenge for the coming decade. We developed a spatially explicit framework to optimize ecological restoration site selection by integrating land use history, species distributions, and economic costs. The framework includes the following steps: identify potential restoration area based on relevant environmental measures like land use; identify species of interest; calculate restoration benefits by modeling habitat and climate suitability and estimating reduced extinction risk associated with restoring a particular land parcel based on a modified species–area relationship; aggregate benefits across species; and compare to parcel-level land acquisition costs. We applied linear programming to maximize conservation benefit/restoration cost ratios to identify optimized restoration sites. We illustrate this approach using a case study for highly threatened grassland ecosystems in the Great Plains region of Kansas, USA. We selected five grassland animal species (greater prairie chickens [Tympanuchus cupido], lesser prairie chickens [Tympanuchus pallidicinctus], swift fox [Vulpes velox], pronghorn [Antilocapra americana], and regal fritillary [Speyeria idalia]) as indicators of restoration benefit across taxa. For the indicator species that we chose, shortgrass and mixed-grass prairies had the highest conservation benefit to cost ratio. Setting a minimum restoration threshold for each habitat type allowed us to identify high-priority tallgrass prairie sites. Despite increasing interest in ecological restoration, optimizing restoration site selection is challenging because one must consider habitat features that do not currently exist. The modeling approach described here is flexible and can be updated for different ecosystems, species, and conservation priorities. We outline potential alterations that can be made in future analyses, depending on desired restoration goals.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70174","usgsCitation":"Weiskopf, S.R., Morelli, T.L., Mozelewski, T.G., Shiklomanov, A.N., and Lerman, S.B., 2026, Restoration based on cost-benefit optimization: A grasslands pilot study: Ecological Applications, v. 36, no. 1, e70174, 17 p., https://doi.org/10.1002/eap.70174.","productDescription":"e70174, 17 p.","ipdsId":"IP-174428","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":499638,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70174","text":"Publisher Index Page"},{"id":499418,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"36","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":954867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":954868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mozelewski, Tina G.","contributorId":365816,"corporation":false,"usgs":false,"family":"Mozelewski","given":"Tina","middleInitial":"G.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":954869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shiklomanov, Alexey N.","contributorId":365817,"corporation":false,"usgs":false,"family":"Shiklomanov","given":"Alexey","middleInitial":"N.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":954870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lerman, Susannah B.","contributorId":365818,"corporation":false,"usgs":false,"family":"Lerman","given":"Susannah","middleInitial":"B.","affiliations":[{"id":37389,"text":"U.S. Forest 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Annual waterfowl harvest in North America is estimated through a collaborative and strategic process, with federal harvest surveys the primary method of estimation. Sea duck hunters participating in federal harvest surveys represent a small proportion of the overall waterfowl hunting population, limiting the utility of harvest estimates for sea ducks. The long-tailed duck (Clangula hyemalis) is one such species. To partially address the paucity of long-tailed duck harvest survey information, we conducted in-person hunter surveys from 1 November through 4 December 2016 at a boat launch in Two Rivers, Wisconsin, USA (Lake Michigan), an important area for long-tailed duck harvest within the state. Hunters were present on 15 of 21 survey days, and we surveyed occupants of 62 individual hunting boats on 127 occasions. Long-tailed ducks were the most common (97%) of the 1,431 sea ducks reported harvested by hunters. Hunter harvest of long-tailed ducks averaged 3.8 (95% CI = 3.4, 4.1; range = 0–6) long-tailed ducks/hunter/day. We used count models to evaluate the effects of environmental variables on hunter participation and harvest of long-tailed ducks. Wave height was the most influential predictor variable for hunter participation; an information criterion-based best model (wave height + temperature) indicated that hunter participation decreased by 91.9% (95% CI = 79.3–97.1%) for each 1-m increase in wave height. Long-tailed duck harvest was positively associated with air temperature; the relationship indicated a 9.5% (95% CI = 6.2–12.9%) increase in long-tailed duck harvest with each degree increase in temperature. Our results contribute to the understanding of waterfowl hunter participation, hunter preferences, and harvest on Lake Michigan and can inform managers as they assess regulatory frameworks for sea duck hunting.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70182","usgsCitation":"Fara, L., Beatty, W.S., Gray, B.R., Kenow, K.P., and Eichholz, M.W., 2026, Harvest of long-tailed ducks from an important hunting location on Lake Michigan: Journal of Wildlife Management, v. 90, no. 3, e70182, https://doi.org/10.1002/jwmg.70182.","productDescription":"e70182","ipdsId":"IP-171382","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":501227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Two Rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.58814421174469,\n 44.16475294219143\n ],\n [\n -87.58814421174469,\n 44.13885420061274\n ],\n [\n -87.55382762153202,\n 44.13885420061274\n ],\n [\n -87.55382762153202,\n 44.16475294219143\n ],\n [\n -87.58814421174469,\n 44.16475294219143\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Fara, Luke J.","contributorId":194768,"corporation":false,"usgs":false,"family":"Fara","given":"Luke J.","affiliations":[],"preferred":false,"id":957104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beatty, William S. 0000-0003-0013-3113 wbeatty@usgs.gov","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":173946,"corporation":false,"usgs":true,"family":"Beatty","given":"William","email":"wbeatty@usgs.gov","middleInitial":"S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eichholz, Michael W.","contributorId":171365,"corporation":false,"usgs":false,"family":"Eichholz","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":26877,"text":"Southern Illinois University, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":957108,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274260,"text":"70274260 - 2026 - Global framework for communication of biological invasion risks","interactions":[],"lastModifiedDate":"2026-03-24T14:36:19.13797","indexId":"70274260","displayToPublicDate":"2026-01-26T09:33:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Global framework for communication of biological invasion risks","docAbstract":"

Biological invasions, driven by the spread of non-native species, have become a critical global issue because of their far-reaching ecological and socioeconomic impacts. Effective communication of the risks of biological invasions is essential for implementing robust policy and legislation and gaining public support for conservation efforts. However, current policies often suffer from fragmentation and ineffectiveness, largely due to inadequate risk communication and complex multilevel governance. To address this challenge, we develop a global framework designed to enhance clearer communication about biological invasion risks. The framework contextualizes key terms across three domains in invasion science: species invasiveness, risk analysis, and decision support tools. Using both diffusion-of-English and ecology-of-language paradigms, and following a three-step process involving preliminary consensus, AI querying, and ground-truthing with final consensus, we validate the framework in 70 non-English languages which, together with English, have official status in at least one country and collectively cover all 195 countries worldwide. Our findings reveal that while terminology for risk analysis is well established, terminology for species invasiveness and, especially, for decision support tools remains underdeveloped in many languages, hindering effective communication and policy implementation. Our framework underscores the importance of cultural and political neutrality. By promoting clearer risk communication among scientists, policymakers, and the public globally, we aim to reduce policy fragmentation and foster enhanced collaboration in risk mitigation. We recommend expanding multilingual decision support tools to include the full risk analysis process: risk identification, risk assessment, and risk management. This will support intergovernmental mitigation efforts and promote a unified global response to biological invasions.

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mesocarnivores","interactions":[],"lastModifiedDate":"2026-04-02T15:58:59.780155","indexId":"70274634","displayToPublicDate":"2026-01-25T08:49:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Experimental lure design reveals the best attractants for increasing detection of multiple mesocarnivores","docAbstract":"

Many mesocarnivores have low detection rates that hinder practitioners' abilities to implement effective monitoring strategies. Using olfactory attractants (i.e. lures) may increase detection rates, but variation in effects among species is not well understood. Thus, investigating factors influencing detection of mesocarnivores, can inform and improve monitoring efforts. We evaluated the effects of lures and environmental covariates on the detection of plains spotted skunks Spilogale interrupta, striped skunks Mephitis mephitis, northern raccoons Procyon lotor, gray foxes Urocyon cinereoargenteus, coyotes Canis latrans, bobcats Lynx rufus and Virginia opossums Didelphis virginiana. We conducted surveys during January–May 2023 in southeast Oklahoma using motion-triggered cameras at randomly selected sites. We surveyed sites using a 4-camera cluster and leave-one-out lure design, where 3 cameras were randomly assigned 1 of 4 lures (i.e. skunk-based lure, fatty acid tablets, sweet lure or sardines) and 1 camera was a control (i.e. no lure). We analyzed species-specific detection data within an occupancy framework to determine the influence of lure combinations and environmental covariates (i.e. temperature, precipitation and moon illumination) on site-level detection patterns for each species. When lures influenced detection, we assessed species-specific preference among lures (and the control) within sites by comparing camera-level independent detections with Kruskal–Wallis and Dunn's tests at sites where the species was detected. The effect of lures varied among species; lure combinations influenced site-specific daily detection of plains spotted skunks, striped skunks, gray foxes, raccoons and bobcats, but did not affect detection of coyotes or opossums. One environmental covariate influenced detection of striped skunks (i.e. moon illumination), bobcats (i.e. temperature), and gray foxes (i.e. precipitation). Within sites, lure preference varied among species. Spotted skunks, gray foxes and raccoons preferred sardines whereas striped skunks preferred the skunk-based lure. Identifying lure preferences and effects of environmental factors can help optimize sampling and improve mesocarnivore monitoring efforts.

","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/wlb3.01579","usgsCitation":"Brosend, D.N., Moeller, A.K., and Lonsinger, R.C., 2026, Experimental lure design reveals the best attractants for increasing detection of multiple mesocarnivores: Wildlife Biology, e01579, 13 p., https://doi.org/10.1002/wlb3.01579.","productDescription":"e01579, 13 p.","ipdsId":"IP-180057","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502085,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wlb3.01579","text":"Publisher Index Page"},{"id":502007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","county":"LeFlore County","otherGeospatial":"Ouachita National Forest, Wister Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.89305161506785,\n 34.979300535069825\n ],\n [\n -94.89305161506785,\n 34.85490787523719\n ],\n [\n -94.6470536880039,\n 34.85490787523719\n ],\n [\n -94.6470536880039,\n 34.979300535069825\n ],\n [\n -94.89305161506785,\n 34.979300535069825\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Brosend, Danielle N.","contributorId":369128,"corporation":false,"usgs":false,"family":"Brosend","given":"Danielle","middleInitial":"N.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":958501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moeller, Anna K.","contributorId":369129,"corporation":false,"usgs":false,"family":"Moeller","given":"Anna","middleInitial":"K.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":958502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958503,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}